Lasagne
E435217
Lasagne is a lightweight Python library for building and training neural networks, designed to run on top of the Theano deep learning framework.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Lasagne canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4390984 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lasagne Context triple: [Theano, usedAsBackendFor, Lasagne]
-
A.
Meatballs
Meatballs is a 1979 comedy film that helped establish Bill Murray as a major comedic star through his role as an irreverent summer camp counselor.
-
B.
Spaghettii
"Spaghettii" is a song by Beyoncé from her genre-blending album "Cowboy Carter," showcasing her experimental approach to country and hip-hop influences.
-
C.
bagna càuda
Bagna càuda is a warm Italian dipping sauce from Piedmont made primarily with garlic, anchovies, olive oil, and sometimes butter, typically served with raw or cooked vegetables.
-
D.
Penne
Penne is a historic hill town in Italy’s Abruzzo region, notable for its ancient Vestini roots and well-preserved medieval architecture.
-
E.
Pastida
Pastida is a small village on the Greek island of Rhodes, situated inland near the town of Ialysos and known for its traditional character and proximity to the island’s main tourist areas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lasagne Target entity description: Lasagne is a lightweight Python library for building and training neural networks, designed to run on top of the Theano deep learning framework.
-
A.
Meatballs
Meatballs is a 1979 comedy film that helped establish Bill Murray as a major comedic star through his role as an irreverent summer camp counselor.
-
B.
Spaghettii
"Spaghettii" is a song by Beyoncé from her genre-blending album "Cowboy Carter," showcasing her experimental approach to country and hip-hop influences.
-
C.
bagna càuda
Bagna càuda is a warm Italian dipping sauce from Piedmont made primarily with garlic, anchovies, olive oil, and sometimes butter, typically served with raw or cooked vegetables.
-
D.
Penne
Penne is a historic hill town in Italy’s Abruzzo region, notable for its ancient Vestini roots and well-preserved medieval architecture.
-
E.
Pastida
Pastida is a small village on the Greek island of Rhodes, situated inland near the town of Ialysos and known for its traditional character and proximity to the island’s main tourist areas.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
Python library
ⓘ
deep learning library ⓘ software library ⓘ |
| compatibleWith | NumPy ⓘ |
| designedFor |
flexibility
ⓘ
modularity ⓘ prototyping ⓘ research ⓘ simplicity ⓘ |
| domain |
deep learning
ⓘ
machine learning ⓘ |
| frameworkType | neural network library ⓘ |
| hasFeature |
custom layer definition
ⓘ
layer abstraction ⓘ loss function utilities ⓘ model serialization ⓘ parameter management ⓘ update rule utilities ⓘ |
| hostedOn | GitHub ⓘ |
| license | MIT License ⓘ |
| operatesOnTopOf | Theano ⓘ |
| primaryInterface | Python API ⓘ |
| programmingLanguage | Python ⓘ |
| repositoryURL | https://github.com/Lasagne/Lasagne ⓘ |
| requires | Theano ⓘ |
| status | largely unmaintained ⓘ |
| supports |
AdaGrad
ⓘ
Adam ⓘ CPU computation ⓘ GPU acceleration ⓘ GRU ⓘ LSTM ⓘ
linked to:
LSTM networks
Nesterov momentum ⓘ RMSProp ⓘ batch normalization ⓘ convolutional neural networks ⓘ dropout ⓘ feedforward neural networks ⓘ max pooling ⓘ neural networks ⓘ recurrent neural networks ⓘ stochastic gradient descent ⓘ |
| targetUsers |
deep learning practitioners
ⓘ
machine learning researchers ⓘ |
| uses | NumPy arrays ⓘ |
| usesBackend | Theano ⓘ |
| writtenIn | Python ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Lasagne Description of subject: Lasagne is a lightweight Python library for building and training neural networks, designed to run on top of the Theano deep learning framework.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.